Sensing Hidden Vehicles by Exploiting Multi-Path V2V Transmission

TL;DR

This paper introduces a multi-path V2V communication-based method to detect hidden vehicles without line-of-sight, enhancing autonomous driving safety by estimating their position, shape, and direction through signal analysis.

Contribution

It proposes a novel multi-path V2V sensing technique that overcomes line-of-sight limitations of traditional radar, enabling detection of hidden vehicles using orthogonal waveform transmission.

Findings

Validated accuracy through realistic highway and rural scenario simulations.

Successfully estimated position, shape, and driving direction of hidden vehicles.

Demonstrated robustness of the method in non-line-of-sight conditions.

Abstract

This paper presents a technology of sensing hidden vehicles by exploiting multi-path vehicle-to-vehicle (V2V) communication. This overcomes the limitation of existing RADAR technologies that requires line-of-sight (LoS), thereby enabling more intelligent manoeuvre in autonomous driving and improving its safety. The proposed technology relies on transmission of orthogonal waveforms over different antennas at the target (hidden) vehicle. Even without LoS, the resultant received signal enables the sensing vehicle to detect the position, shape, and driving direction of the hidden vehicle by jointly analyzing the geometry (AoA/AoD/propagation distance) of individual propagation path. The accuracy of the proposed technique is validated by realistic simulation including both highway and rural scenarios.